Data Analysts in this TalentCloud should be able to interpret data and turn it into information that can offer ways to improve a business, thus positively affecting business decisions. Other abilities and experiences include:
- Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems
- Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
- Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry
- Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance
- Interpreting data, analyzing results using statistical techniques
- Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
- Acquiring data from primary or secondary data sources and maintaining databases
- Working alongside teams within the business or the management team to establish business needs
- Defining new data collection and analysis processes
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
- Manage Master Data, including creation, updates, and deletion
- Provide quality assurance of imported data, working with quality assurance analysts if necessary
- Processing confidential data and information according to guidelines
- Managing and designing the reporting environment, including data sources, security, and metadata
Required Skills
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at SQL queries, report writing, and presenting findings
- Demonstrated experience in handling large data sets and relational databases
- Supporting the data warehouse in identifying and revising reporting requirements
- Supporting initiatives for data integrity and normalization
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Preferred Skills
- Experience in data models and reporting packages
- Ability to quickly learn languages like Python / Scripting – JavaScript to scrape data and collect results
- Troubleshooting the reporting database environment and reports
- Ability to analyze large datasets
- Ability to write comprehensive reports
- Strong verbal and written communication skills
- An analytical mind and inclination for problem-solving
- Attention to detail
